ml_research -> machine learning

Author: Loki-Silvres

_pages/projects.md

@@ -5,7 +5,7 @@ permalink: /projects/
 description: 
 nav: true
 nav_order: 3
-display_categories: [robotics, ml_research]
+display_categories: [robotics, machine learning]
 horizontal: false
 ---
 

_projects/3_project.md

@@ -4,7 +4,7 @@ title: Embedded Toy Detection
 description: Real-time toy detection for mobile robots using advanced object detection models  
 img: assets/img/toy_det_image.png
 importance: 4 
-category: ml_research     
+category: machine learning     
 ---
 
 This research project enhances a baseline object detection model through advanced techniques such as pseudo-labelling, data engineering, and knowledge distillation. It develops an efficient and scalable **toy detection system** tailored for robotics applications. Leveraging state-of-the-art models like **Co-DETR**, the system pseudo-labels unannotated data to expand the dataset and train a larger model (**DAMO-YOLO-M**) to improve detection accuracy. The deployment model (**DAMO-YOLO-Tiny**) is distilled from the larger variant for lightweight, real-time inference on resource-constrained robotic platforms.

_projects/5_project.md

@@ -4,7 +4,7 @@ title: Data Augmentation using DCGANs
 description: Research on dataset augmentation through generative adversarial networks  
 img: assets/img/sample_generated_image.png  
 importance: 6
-category: ml_research
+category: machine learning
 ---   
 
 ### <a href="https://github.com/Loki-Silvres/Data-Augmentation-using-DCGANs">[Code]</a>           

_projects/8_project.md

@@ -4,7 +4,7 @@ title: Multimodal Price Regressor
 description: Smart product price prediction - Amazon ML Challenge 2025
 img: assets/img/AMLC2025-Final-drawio.png  
 importance: 1
-category: ml_research
+category: machine learning
 ---
 
 ### <a href="[https://github.com/RudrakshSJoshi/amlc-multimodal-mlp]">[Code]</a> <a href="https://www.kaggle.com/datasets/manav2805/amazon-ml-challenge-25/data">[Data]</a>